Triple
T17606798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trapeze |
E428853
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Liam O'Brien |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Liam O'Brien | Statement: [Trapeze, screenwriter, Liam O'Brien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liam O'Brien Context triple: [Trapeze, screenwriter, Liam O'Brien]
-
A.
Liam O'Brien
chosen
Liam O'Brien was an American screenwriter and playwright known for his work on mid-20th-century Hollywood films and stage productions.
-
B.
Nick O'Brien
Nick O'Brien is a hard-edged, morally ambiguous Los Angeles County Sheriff's detective who leads an elite unit in the crime thriller film "Den of Thieves."
-
C.
Steve O'Brien
Steve O'Brien is an individual known primarily as the sibling of Jack O'Brien.
-
D.
Dion O’Leary
Dion O’Leary is the central protagonist of the 1937 historical drama film "In Old Chicago," which dramatizes events leading up to the Great Chicago Fire of 1871.
-
E.
Liam O’Connor
Liam O’Connor is a British architect best known for designing prominent public memorials, including the Bomber Command Memorial in London.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4ccef08190aeaa88670364bd74 |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.